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Find the perfect prompt for any task. Copy, customize, and create with prompts built for ChatGPT, Claude, Gemini, and every major AI platform.
Sell a PromptPrompt for map stage in map-reduce chain for document summarization
Prompt for reduce stage in map-reduce chain for document summarization
Extreme Text Summarizer. It sums up the paragraph without losing any of its meaning. The result is a summary of the paragraph that is as short as possible while still keeping all of the original meaning and context.
A summarization prompt to analyze FQ-QW statistic
Chain of Density Summarization prompt template. A modified configurable chat prompt version of the one in the original paper: https://arxiv.org/abs/2309.04269
A summarization prompt to analyze win odds, place odds difference of a horse in a horse race in HKJC, the conflict of the two investments form special insight and meanings.
Summarization on next5
Top 3 model final summarization using GPT-4
LangChain Hub prompt: erzhuoshao/sciscigpt_database_specialist
LangChain Hub prompt: erzhuoshao/sciscigpt_analytics_specialist
Summarization prompt to use with multi-vector retriever.
Chain of density summarization https://twitter.com/vimota/status/1702503466994982914
prompt to decide to loop or not
This prompt uses NLP and AI to convert seed content into Q/A training data for OpenAI LLMs. While generating diverse samples, it infuses the unique personality of 'GitMaxd', a direct and casual communicator, making the data more engaging. It's all about blending technical prowess with a touch of personality.
summarization prompt for others
this is a router agent to return or call other functions based on the question and history
Reflection prompt feedback
Pre-processing user comment prompt
LangChain Hub prompt: aexl/fq_signal-summarization
A prompt for LLM model to compare between two AI assistants answers.
Chain of Density Summarization Prompt from Salesforce AI
The Email Summarizer and Indexer Workflow aims to provide a structured approach to processing and understanding large volumes of emails. By implementing a sequence of steps — from filtering to feature identification — the workflow prepares email data for further analysis and action, including but not limited to summarization via GPT-4 models. This workflow is defined in a JSON format, specifying the sequence, agent responsible, and the input parameters for each step.
Generate 5 use cases per category, for an industry. Categories are: Content Generation, Summarization, Code Generation, Semantic Search.
The following prompt is for summarizing the code. It helps is effectively summarizing the code.
